Sr. Software Dev Engineer, AWS HR Builder eXperience Team Technology (BeXT Tech)

Description

The position is based in the beautiful Tel Aviv campus. This is a hybrid role (3 days a week in the office) because we believe it is easier to learn, model, practice, and strengthen our culture when we’re in the office surrounded by our colleagues.

Amazon Web Services is innovating new ways of building massively scalable distributed systems and delivering the next generation of HR services that support our employees around the world. We hold high standards for our computer systems and the services we deliver to our customers: our systems are highly secure, highly reliable, highly available, all while functioning at massive scale.

As a Software Development Engineer in Builder eXperience Team Technology, you will build new innovative services and build the future of HR. You will directly contribute to designing and building cutting-edge distributed systems.

You'll be part of a world-class team in a fast-paced environment that has the entrepreneurial feel of a start-up. This is an opportunity to operate and engineer systems on a large scale and to gain top-notch experience in cloud computing. You'll be surrounded by people who are smart, passionate about cloud computing, and believe that world class service is critical to customer success.

We are open to hiring candidates to work out of one of the following locations:

Tel Aviv, ISR

Basic Qualifications

• 5+ years of non-internship professional software development experience
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• 5+ years of programming with at least one software programming language experience
• Experience as a mentor, tech lead or leading an engineering team
• Bachelor's degree in computer science or equivalent
  
  

• 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Experience in Large Language Models
• Experience in NLP